Senior Machine Learning Engineer – ML Recall

Job not on LinkedIn

🕒 July 28

🇪🇺 Europe – Remote

💵 $80k - $120k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Constructor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS • Artificial Intelligence • eCommerce

Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.

📋 Description

• Build and deploy robust ML systems for search (including text/image & multimodal approaches, etc) • Tune LLMs to improve our system in different aspects, not limited to what we already have • Improve business KPIs by using new techniques/models and validating hypotheses. • Collaborate with other technical teams to exchange experiences to improve the overall system • Be responsible for what you and your team do

🎯 Requirements

• 3+ years of professional experience in applied machine learning • Excellent NLP knowledge (especially transformer-based approaches) • Comprehensive knowledge of classical machine learning • Extensive Python knowledge • Experience with any DL framework (we’re using torch) • Experience with any SQL dialect (we’re using SparkSQL, MySQL and a couple more dialects) • You have delivered production ML systems • Proficiency with big data stack for end-to-end ML product development (we’re using Pyspark for most of our pipelines) • You are able to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value • Proactivity: you can't close your eyes to problems, but are ready to solve them • You are friendly and willing to help your teammates & others • Nice to have: • - Experience designing, conducting, and analyzing A/B tests • - Experience with Rust (or C/C++) • - Experience with a public cloud like AWS, Azure, or GCP • - Strong knowledge of data structures, algorithms and their trade-off • - Empathy • - Ability to explain difficult concepts • - You love to work on performance optimization, such as increasing result quality and improving code performance

🏖️ Benefits

• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year • 🌎 Fully remote team - choose where you live • 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office • 💻 Apple laptops provided for new employees • 🧑‍🎓 Training and development budget for every employee, refreshed each year • 👪 Maternity & Paternity leave for qualified employees • 🧠 Work with smart people who will help you grow and make a meaningful impact • 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results • 📈 Stock options - offered in addition to the base salary • 🎉 Regular team offsites to connect and collaborate